Everything your detection engineering team needs

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Radar chart evaluating five criteria: Threat Coverage & Relevance, Detection Reliability, Threat Severity & Risk, Maintenance Efficiency, and Actionability & Context, with a small green area near the center.
Continuous Detection Validation
Rilevera validates detection logic, telemetry dependencies, and schema integrity across platforms. If a rule breaks or data disappears, you know immediately.
Code snippet showing JSON-like structure for a Postgres counts testing query with metadata filters for 'Cylance' and 'Protect' products and severity ranges, with a purple 'Submit for Review' button.
AI-Driven Detection Optimization
We analyze performance data, false positive trends, overlap, and logic quality to recommend improvements and push validated updates back into execution platforms.
User interface displaying tactics and techniques with a main tactic labeled 'TA0002 – Execution' and two sub-techniques: 'T1053 – Scheduled Task/Job' and 'T1106 – Native API'.
Coverage and Gap Analysis
We map detections and telemetry to MITRE techniques and threat actors to identify blind spots and prioritize new rule development.
Code snippet for SumoLogic detection of unauthorized IAM role assumption using AWS CloudTrail logs with highlighted terms: scope and readability.
Detection Lifecycle Governance
Structured workflows for design, validation, peer review, and controlled deployment ensure detection engineering operates with discipline and speed.

Integrations

Detection Management Lifecycle With Rilevera